SUSTAIN captures category learning, recognition, and hippocampal activation in a unidimensional vs information-integration task

Proceedings of the Annual Meeting of the Cognitive Science Society, 43 (3013-3019). 2021. Conference paper

There is a growing interest in alternative explanations to thedual-system account of how people learn category structuresvarying in their optimal decision bounds (unidimensional andinformation-integration structures). Recognition memory per-formance and hippocampal activation patterns in these tasksare two interesting findings, which have not been formally ex-plained. Here, we carry out a formal simulation with SUS-TAIN (Love, Medin, & Gureckis, 2004), an adaptive modelof category learning, which had great success in accountingfor recognition memory performance and fMRI activity pat-terns. We show, for the first time, that a formal single-systemmodel of category learning can accommodate recognition per-formance after learning and is consistent with fMRI data ob-tained while participants learned these structures

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